PREDICT LIKELY FAILURES AND ESP RUNLIFE
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STAT PRO RELIABILTY ANALYSIS SOFTWARE

Stat Pro reliability analysis software uses broad simulation capabilities to forecast ESP runlife based on well parameters and reservoir characteristics.

BENEFITS

Predict ESP runlife

Statistical data is combined with fluid, reservoir, and well characteristics to forecast runlife
Establish maintenance, replacement schedule

Accurate forecasting enables proactive planning to help reduce downtime and production losses



applications

  • Conventional and unconventional ESP wells
  • Onshore and offshore ESPs

capabilities

  • Combining statistical analysis with well-specific data
  • Forecasting uptime, average operating time, and expected ESP production

features

  • Statistical analysis provides general runlife expectations
  • Fluid characteristics, well conditions, and reservoir type enhance performance and runlife forecasting for specific ESP installations

Screenshot of Stat Pro reliability analysis software used to forecast ESP runlife,

Software highlights

StatPro software estimates ESP reliability using operational data. We calculate and deliver the following forecast details:

  • Likely uptime for the ESP
  • The average time to failure (the amount of time at which 50% of similar ESPs under similar conditions fail)
  • Performance forecasting for the ESP system under specific conditions
  • ESP failure types and root causes over time to better understand risk
  • Structural analysis of ESP reliability (includes probability for each failure type)
  • Site-specific reliability analysis of ESPs (separate calculation based on the ESP installed)

StatPro software puts you in control. It gives you accurate reliability estimates before you start production, helping you avoid having to learn by failure as you go. You can use StatPro results for field-wide analysis and ESP selection, or focus on the conditions of a single well and ESP. 

Need more info?

Contact us for more information on forecasting ESP runlife with Stat-Pro software